Citas bibligráficas
Carrasco, H., Palacios, J. (2024). Sistema para la evaluación de personal técnico utilizando lógica difusa en una empresa outsourcing de desarrollo de software [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/672356
Carrasco, H., Palacios, J. Sistema para la evaluación de personal técnico utilizando lógica difusa en una empresa outsourcing de desarrollo de software [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/672356
@misc{sunedu/3604275,
title = "Sistema para la evaluación de personal técnico utilizando lógica difusa en una empresa outsourcing de desarrollo de software",
author = "Palacios Portocarrero, Judith Carola",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
This project shows the creation of an application that uses fuzzy logic for the technical evaluation of candidates who apply for a software development position in the Android specialty during the selection process of technical personnel in the company Avantica, this with the objective to reduce the human judgment present in technical interviews when evaluating the level of technical knowledge of a candidate. The main strength of fuzzy logic that represented a factor of interest to be able to apply it in this project is that it emulates human logic when it is necessary to follow logical linguistic rules that will be the required categories and the levels finally assigned. It was validated that the Mandani method is the one that most naturally imitates human inference when determining the required results. The process that starts from the fuzzification of the data was used, input data collection that was grouped into fuzzy sets according to degrees of belonging and subsequent defuzzification, the resulting data will be used by the Avantica recruitment area to support that the candidate can move on to the next phase of the process: the interview with the client, the final phase where their hiring will be determined. In order to verify the result of the system, a sample of 50 candidates was used who were evaluated both by the system and by the Mobile specialists, who were based on the same variables that the fuzzy model of the solution considers providing the results, obtaining 90% are matches of matches.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons